Our theme is "New Frontiers in Data Discovery: Collaboration with
Research Libraries." The workshop will be held at the Pittsburgh
Supercomputing Center (PSC) and Carnegie Mellon University's (CMU)
Software Engineering Institute, Pittsburgh, PA.
This NDS Pilot Project will point the way for data science
in the 21st century when material scientists can publish
their data—large or small—in a scalable repository
that can be linked to associated literature.
The National Data Service (NDS) is an emerging vision for how scientists and researchers across all disciplines can find, reuse, and publish data. It builds on the data archiving and sharing efforts already underway within specific communities and links them together with a common set of tools designed around the following capabilities:
The NDS will allow users to easily search for data across disciplinary boundaries. As users hone in on data of interest, they can easily switch to discipline-specific tools.
The NDS will connect users to tools for building and sharing collections of data. It will help users find and deliver data to the best repository for data-publishing.
The NDS will create robust connections between data and published articles. When researchers reference an article, they have ready access to the underlying data.
The NDS will not only provide access to data for download, it will provide tools for transferring data to processing platforms or allow analysis to be attached to the data.
A broad assembly of data providers, data aggregators, community-specific federations, academic libraries, publishers, and cyberinfrastructure providers has come together to guide the development and operation of the NDS. Membership is open to all interested projects and organizations.
The National Data Service is community-driven effort, guided by the National Data Service Consortium. Membership is open to stakeholding organizations. If you would like more information about getting involved, contact firstname.lastname@example.org.